Patents by Inventor David L. Wilson

David L. Wilson has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12259014
    Abstract: A power coupler for transferring rotary power from a rotary power device to a load device includes a shear thickening fluid (STF) and a chamber that contains the STF. The power coupler further includes a drive shaft housed radially within a drive side section of the chamber and protruding outward from an end of the chamber for coupling to the rotary power device. The power coupler further includes a load shaft housed radially within a load side section of the chamber and protruding outward from another end of the chamber for coupling to the load device. The power coupler further includes a drive turbine housed radially within the drive side section and coupled to the drive shaft. The power coupler further includes a load turbine housed radially within the load side section at a fixed operational distance from the drive turbine and coupled to the load shaft.
    Type: Grant
    Filed: March 24, 2022
    Date of Patent: March 25, 2025
    Assignee: Moshun, LLC
    Inventors: Timothy John Boundy, Steven Michael Barger, Terence Michael Lydon, Richard Michael Lang, Wilfredo Gonzalez, Jr., Darren Michael Boundy, Eric McHugh, David Schuda, George L. Wilson, IV, Gary W. Grube, Jason K. Resch, Mario F. DeRango, John Edward Buchalo, Richard A. Herbst, Kurt Estes, Evan Anderson
  • Publication number: 20250092933
    Abstract: A head unit system for controlling motion of an object includes a secondary object sensor, shear thickening fluid (STF), and a chamber configured to contain a portion of the STF. The chamber further includes a front channel and a back channel. The head unit system further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber.
    Type: Application
    Filed: November 25, 2024
    Publication date: March 20, 2025
    Applicant: Moshun, LLC
    Inventors: Timothy John Boundy, Steven Michael Barger, Terence Michael Lydon, Richard Michael Lang, Wilfredo Gonzalez, JR., Darren Michael Boundy, Eric McHugh, David Schuda, George L. Wilson, IV, Gary W. Grube, Jason K. Resch, Mario F. DeRango, John Edward Buchalo, Richard A. Herbst, Kurt Estes, Evan Anderson
  • Patent number: 12247434
    Abstract: A method for execution by a computing entity includes interpreting a fluid flow response from fluid flow sensors to produce a piston position of a piston associated with a head unit device. The head unit device includes a chamber filled with a shear thickening fluid (STF). The method further includes determining a door position based on the piston position. The method further includes determining parameters for wireless signals based on the door position. The method further includes facilitating utilization of the parameters for the wireless signals to promote successful communication of status and/or control of the door via the wireless signals.
    Type: Grant
    Filed: April 13, 2023
    Date of Patent: March 11, 2025
    Assignee: Moshun, LLC
    Inventors: John Edward Buchalo, Mario F. DeRango, Gary W. Grube, Jason K. Resch, Terence Michael Lydon, Timothy John Boundy, Darren Michael Boundy, Eric McHugh, Richard Michael Lang, Richard A. Herbst, Steven Michael Barger, Kurt Estes, Evan Anderson, Susan Tomilo, Wilfredo Gonzalez, Jr., David Schuda, George L. Wilson, IV, Daniel J. Gardner
  • Patent number: 12230397
    Abstract: Embodiments discussed herein facilitate determining a prognosis for keratoplasty based on segmented endothelial cells. One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; segmenting, based at least in part on a first model, a plurality of corneal endothelial cells of the set of corneal endothelial cells; calculating one or more features based on the segmented plurality of corneal endothelial cells; and generating, via a second model trained based at least on the one or more features, a prognosis associated with the keratoplasty.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: February 18, 2025
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Hao Wu, Naomi Joseph, Chaitanya Kolluru, Beth Benetz, Jonathan Lass
  • Publication number: 20240321461
    Abstract: Systems, methods, and apparatus are provided for determining a risk prediction for major adverse cardiovascular event (MACE) for a patient based on a computed tomography (CT) calcium score image of the patient's chest. In one example, a method includes receiving a computed tomography (CT) calcium score image of a chest; identifying tissue of interest in the CT calcium score image; analyzing the CT calcium score image to determine features of the identified tissue of interest; and determining a risk prediction of MACE based on the features.
    Type: Application
    Filed: March 19, 2024
    Publication date: September 26, 2024
    Inventors: David L. Wilson, Sadeer Al-Kindi, Yingnan Song, Ammar Hoori, Hao Wu, Yiqiao Liu
  • Patent number: 12062178
    Abstract: Embodiments discussed herein facilitate automated and/or semi-automated segmentation of endothelial cells via a trained deep learning model. One example embodiment is a method, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; pre-processing the optical microscopy image to generate a pre-processed optical microscopy image via correcting for at least one of shading or illumination artifacts in the optical microscopy image; segmenting, based at least in part on a trained deep learning (DL) model, a plurality of corneal endothelial cells of the set of corneal endothelial cells in the pre-processed optical microscopy image; and displaying, via a graphical user interface (GUI), at least the segmented plurality of corneal endothelial cells.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: August 13, 2024
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Naomi Joseph, Jonathan H. Lass, Beth Ann Benetz, Harry J. Menegay, Elizabeth Fitzpatrick
  • Patent number: 12026887
    Abstract: A first set of embodiments relates to an apparatus comprising one or more processors configured to: access three-dimensional (3D) ultrasound imaging of an eye; generate at least one segmented ocular structure by segmenting at least one ocular structure represented in the 3D ultrasound imaging using at least one deep learning ocular structure segmentation model configured to generate a predicted segmentation volume of the at least one ocular structure based on at least one portion of the 3D ultrasound imaging; compute at least one clinical metric associated with the at least one segmented ocular structure based on the at least one segmented ocular structure; and display at least one of: the at least one segmented ocular structure, the at least one clinical metric, the 3D ultrasound imaging, or at least one portion of the 3D ultrasound imaging.
    Type: Grant
    Filed: August 17, 2021
    Date of Patent: July 2, 2024
    Assignees: Case Western Reserve University, UH Cleveland Medical Center
    Inventors: David L. Wilson, Hao Wu, Tahseen Minhaz, Faruk Orge, Richard Helms, Juhwan Lee
  • Publication number: 20240169525
    Abstract: The present disclosure, in some embodiments, relates to a method of generating a prognosis for a patient. The method includes accessing automatically segmented pericoronary adipose tissue (PCAT) corresponding to a patient within an electronic memory. A plurality of non-confounding PCAT features are generated by measuring values of Hounsfield units for an imaging unit within the PCAT. The measured values of the Hounsfield units are predominately free of iodine confounding and artifacts. The plurality of non-confounding PCAT features are provided to a regression model.
    Type: Application
    Filed: July 19, 2023
    Publication date: May 23, 2024
    Inventors: David L. Wilson, Ammar Hoori, Tao Hu, Yingnan Song, Hao Wu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan
  • Publication number: 20240169524
    Abstract: The present disclosure, in some embodiments, relates to a method of determining a stent effectiveness. The method includes accessing a pre-stent intravascular image of a blood vessel of a patient. One or more pre-stent label volumes of the blood vessel are determined and one or more treatment variables associated with the pre-stent intravascular image are determined. One or more FEM-mimic simulations are generated by applying a first deep learning model to the one or more pre-stent label volumes and the one or more treatment variables. The one or more FEM-mimic simulations are used to determine a stent effectiveness metric.
    Type: Application
    Filed: June 12, 2023
    Publication date: May 23, 2024
    Inventors: David L. Wilson, Yazan Gharaibeh, Juhwan Lee, Linxia Gu, Pengfei Dong, Sadeer Al-Kindi, Hiram Bezerra
  • Patent number: 11710238
    Abstract: Embodiments discussed herein facilitate segmentation of vascular plaque, training a deep learning model to segment vascular plaque, and/or informing clinical decision-making based on segmented vascular plaque. One example embodiment accessing vascular imaging data for a patient, wherein the vascular imaging data comprises a volume of interest; pre-process the vascular imaging data to generate pre-processed vascular imaging data; provide the pre-processed vascular imaging data to a deep learning model trained to segment a lumen and a vascular plaque; and obtain segmented vascular imaging data from the deep learning model, wherein the segmented vascular imaging data comprises a segmented lumen and a segmented vascular plaque in the volume of interest.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: July 25, 2023
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Yazan Gharaibeh, David Prabhu, Juhwan Lee, Chaitanya Kolluru
  • Publication number: 20230223152
    Abstract: The present disclosure, in some embodiments, relates to a method of predicting stent expansion. The method includes accessing a pre-stent intravascular image of a blood vessel of a patient and segmenting the pre-stent intravascular image to identify a lumen and a calcification lesion. A plurality of features are extracted from one or more of the lumen and the calcification lesion. A regression model is applied to one or more of the plurality of features to determine a minimum stent expansion metric (mSEM). The mSEM indicating how much a stent will expand after implantation. The mSEM is used to generate a classification of the blood vessel as an under-expanded area or a well-expanded area.
    Type: Application
    Filed: January 5, 2023
    Publication date: July 13, 2023
    Inventors: David L. Wilson, Yazan Gharaibeh, Juhwan Lee, Sadeer Al-Kindi, Vladislav N. Zimin, Linxia Gu, Pengfei Dong, Hiram Bezerra
  • Patent number: 11687906
    Abstract: A device (12, 312, 494) operates to cause financial transfers responsive to data read from data bearing records. The device includes a reader (20, 314) that is usable to read check data from financial checks. The reader is also usable to read record document data such as an invoice or other remittance advice. At least one circuit (54, 332) of the device is operative to cause a determination to be made that check data and/or record document data corresponds to stored data. Responsive to the determination, check data and record data are made available to a payee terminal (346). The device may be operable responsive to receipt of embedded instructions from a check payment website to capture image data corresponding to an image of a financial check and to send the image data to a remote computer as indicated by the embedded instructions.
    Type: Grant
    Filed: January 4, 2022
    Date of Patent: June 27, 2023
    Assignee: DADESYSTEMS, INC.
    Inventors: David L. Wilson, Douglas M. Hathaway, Carlos Rodriguez Buehl, Pilar E. Rodriguez
  • Patent number: 11515822
    Abstract: An adaptive torque disturbance cancellation method and motor control system for rotating a load are described. The system has: (i) a speed controller for receiving a first input signal indicating a desired motor speed and, in response, for outputting a motor control signal; (ii) current sensing circuitry for sensing current through a motor that rotates in response to the speed controller; (iii) circuitry for storing, into a storage device, history data representative of the current through a motor when the motor operates to rotate the load; and (iv) circuitry for modifying the motor control signal in response to the history data.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: November 29, 2022
    Assignee: Texas Instruments Incorporated
    Inventors: David L. Wilson, Jorge Zambada Tinoco, David Patrick Magee
  • Patent number: 11399779
    Abstract: Embodiments discussed herein facilitate system-independent quantitative perfusion measurements. One example embodiment is a method, comprising: accessing 4D (Four Dimensional) perfusion imaging data of a tissue, where the 4D perfusion imaging data comprises a plurality of 3D (Three Dimensional) stacks of perfusion imaging data over time; performing at least one of artifact reduction or post-processing on the 4D perfusion image data to generate processed 4D perfusion image data; computing one or more quantitative perfusion parameters for the tissue based at least in part on the processed 4D perfusion image data; and outputting a visual representation of the one or more quantitative perfusion parameters.
    Type: Grant
    Filed: March 18, 2019
    Date of Patent: August 2, 2022
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Brendan L. Eck, Jacob Levi, Hao Wu, Rachid Fahmi
  • Patent number: 11386555
    Abstract: Embodiments discussed herein facilitate employing a pretrained model to determine risk(s) of adverse event(s) based on Computed Tomography (CT) image volume(s) of an artery and/or training a model to determine such risk(s). Example embodiments can determine risk based on territory-specific calcium score(s) and/or intensity/morphological/location features discussed herein. Various embodiments can determine risk(s) based on a single CT image volume and/or change(s) in CT image volumes taken over a series of time points.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: July 12, 2022
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Di Wen, Brendan L. Eck, Jacob Levi, Yingnan Song
  • Patent number: 11238430
    Abstract: A device (12, 312, 494) operates to cause financial transfers responsive to data read from data bearing records. The device includes a reader (20, 314) that is usable to read check data from financial checks. The reader is also usable to read record document data such as an invoice or other remittance advice. At least one circuit (54, 332) of the device is operative to cause a determination to be made that check data and/or record document data corresponds to stored data. Responsive to the determination, check data and record data are made available to a payee terminal (346). The device may be operable responsive to receipt of embedded instructions from a check payment website to capture image data corresponding to an image of a financial check and to send the image data to a remote computer as indicated by the embedded instructions.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: February 1, 2022
    Assignee: DADESYSTEMS, INC.
    Inventors: David L. Wilson, Douglas M. Hathaway, Carlos Rodriguez Buehl, Pilar E. Rodriguez
  • Publication number: 20210383548
    Abstract: A first set of embodiments relates to an apparatus comprising one or more processors configured to: access three-dimensional (3D) ultrasound imaging of an eye; generate at least one segmented ocular structure by segmenting at least one ocular structure represented in the 3D ultrasound imaging using at least one deep learning ocular structure segmentation model configured to generate a predicted segmentation volume of the at least one ocular structure based on at least one portion of the 3D ultrasound imaging; compute at least one clinical metric associated with the at least one segmented ocular structure based on the at least one segmented ocular structure; and display at least one of: the at least one segmented ocular structure, the at least one clinical metric, the 3D ultrasound imaging, or at least one portion of the 3D ultrasound imaging.
    Type: Application
    Filed: August 17, 2021
    Publication date: December 9, 2021
    Inventors: David L. Wilson, Hao Wu, Tahseen Minhaz, Faruk Orge, Richard Helms, Juhwan Lee
  • Patent number: 11120548
    Abstract: Embodiments discussed herein facilitate classification of vascular plaque. One example embodiment can: access vascular imaging data comprising one or more slices, wherein each slice comprises a plurality of A-lines of that slice; for each A-line of the plurality of A-lines of each slice of the one or more slices: extract one or more features for that A-line, wherein the one or more features for that A-line comprise at least one of: one or more features extracted from that A-line, one or more features extracted from the slice comprising that A-line, or one or more features extracted from the vascular imaging data; provide the one or more features for that A-line to at least one classifier; and generate a classification of that A-line via the at least one classifier, wherein the classification of that A-line is one of fibrocalcific, fibrolipidic, or other.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: September 14, 2021
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, David Prabhu, Chaitanya Kolluru, Yazan Gharaibeh, Hiram G. Bezerra, Hao Wu
  • Publication number: 20210278655
    Abstract: Embodiments discussed herein facilitate automated and/or semi-automated segmentation of endothelial cells via a trained deep learning model. One example embodiment is a method, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; pre-processing the optical microscopy image to generate a pre-processed optical microscopy image via correcting for at least one of shading or illumination artifacts in the optical microscopy image; segmenting, based at least in part on a trained deep learning (DL) model, a plurality of corneal endothelial cells of the set of corneal endothelial cells in the pre-processed optical microscopy image; and displaying, via a graphical user interface (GUI), at least the segmented plurality of corneal endothelial cells.
    Type: Application
    Filed: January 5, 2021
    Publication date: September 9, 2021
    Inventors: David L. Wilson, Naomi Joseph, Jonathan H. Lass, Beth Ann Benetz, Harry J. Menegay, Elizabeth Fitzpatrick
  • Publication number: 20210147932
    Abstract: Probes, methods and kits for detecting and measuring abasic (AP) sites in a nucleic acid are provided. Aspects of the methods include determining glycosylase enzyme activity. Further provided herein are methods of quantifying AP sites in genomic DNA, and quantifying the amount of DNA damage. The subject probes include a fluorophore linked to an alpha nucleophile that reacts with the AP site of the nucleic acid to produce a highly fluorescent conjugate.
    Type: Application
    Filed: November 3, 2020
    Publication date: May 20, 2021
    Inventors: Eric T. Kool, David L. Wilson